Evidence map›Paper›PMID 31275491›Full record

ArticlePharmacy practice

Retrospective analysis of drug therapy problems identified with a telephonic appointment-based model of medication synchronization.

Rebecca M Fitzpatrick, Matthew J Witry, William R Doucette, Kelly Kent, Michael J Deninger, Randy P Mcdonough, Stevie Veach

Abstract read
In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Rebecca M FitzpatrickHartig Drug, Dubuque, IA (United States). [At time of study, was PGY1 Community Pharmacy Resident at The College of Pharmacy, University of Iowa, Iowa City, IA (United States)]. rebeccamanderson@outlook.com.ORCID 0000-0003-3202-0324
Matthew J WitryDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Iowa. Iowa City, IA (United States). matthew-witry@uiowa.edu.ORCID 0000-0001-8381-7224
William R DoucetteDivision Head and Veale Professor in Healthcare Policy, Department of Pharmacy Practice and Science, College of Pharmacy, University of Iowa. Iowa City, IA (United States). william-doucette@uiowa.edu.ORCID 0000-0002-8603-7861
Kelly KentDirector of Clinical Services. Towncrest Pharmacy. Iowa City, IA (United States). keljokent@yahoo.com.ORCID 0000-0003-3367-1567
Michael J DeningerTowncrest Pharmacy. Iowa City, IA (United States). deninger@towncrest.com.ORCID 0000-0002-0363-0070
Randy P McdonoughTowncrest Pharmacy. Iowa City, IA (United States). mcdonough@towncrest.com.ORCID 0000-0001-9927-1027
Stevie VeachDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Iowa. Iowa City, IA (United States). stevie-veach@uiowa.edu.ORCID 0000-0002-8519-0741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the drug therapy problems (DTPs) identified for patients enrolled in an Appointment Based Model (ABM) for medication synchronization, describe the pharmacist-delivered clinical interventions, and assess what patient characteristics are associated with the number of DTPs identified.

methodsA cross-sectional chart review of 1 month of pharmacist notes for telephone ABM encounters at one independent community pharmacy in the Midwest U.S. was performed for a systematic random sample of patients active in the program during September 2017. Included patients were 18 years and older and took one or more synchronized medications. Data included months in the program, gender, age, insurance type, refill interval, medications (synchronized and total), DTP category, and intervention category. Descriptive statistics were calculated, and a multiple linear regression tested the association between patient characteristics and the number of DTPs identified.

resultsThe study involved 209 subjects, 54% women, with a mean age of 69.5 years and. The average number of medications synchronized was 4.7, the mean total number of medications was 6.3, and mean length of time in the program was 20 months. The DTPs (n=334) identified included needs additional drug therapy (43.1%), inappropriate adherence (31.4%), unnecessary drug therapy (15.0%), and adverse drug reaction (9.6%). The regression showed age and number of medications was positively associated with number of DTPs identified, but months enrolled was not.

conclusionsThis ABM approach identified several hundred DTPs with corresponding interventions within a one-month period, suggesting that ABMs have a significant potential to improve patient care. The data also suggest that pharmacist interventions within an ABM program are valuable beyond the first few fills as patients move into maintenance use of their medications, especially for patients of advancing age and polypharmacy.

Indexed as

Community Pharmacy ServicesDrug-Related Side Effects and Adverse ReactionsMedication AdherenceMedication Therapy ManagementPharmaciesPharmacistsProfessional PracticeUnited States

Identifiers

PMID31275491
PMCPMC6594433

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